ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics | Paper Citation Record

Observation b99497d5-1296-4035-a88f-a803dfb2eb14 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Meteor: An automatic metric for mt evaluation with improved correlation with human judgments

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Observation 2061dcae-d3d9-4d37-9eda-d3fb7caf893c · outbound

This paper cites Performance of chatgpt on a radiology board-style examina- tion: insights into current strengths and limitations.Radiology, 307(5):e230582, 2023.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Performance of chatgpt on a radiology board-style examina- tion: insights into current strengths and limitations.Radiology, 307(5):e230582, 2023

Reference 2

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Observation 7a95a448-434e-4b1e-8892-7db053c98616 · outbound

This paper cites LoRA Learns Less and Forgets Less.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRA Learns Less and Forgets Less

Reference 3

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Observation ac958164-2598-45b2-a4e3-7fc1898ba6f2 · outbound

This paper cites MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models

Reference 4

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Observation 197074b1-5345-4f8b-ba8f-d687477009ab · outbound

This paper cites HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reference 5

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Observation d981c2b0-1579-4e31-8662-a8e9ca752156 · outbound

This paper cites LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 6

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Observation 935eba81-59d8-4e75-a3d9-b5a1513b8620 · outbound

This paper cites Generating Radiology Reports via Memory-driven Transformer.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Generating Radiology Reports via Memory-driven Transformer

Reference 7

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Observation 8154036b-f630-4642-b411-d4d7f4030a2d · outbound

This paper cites Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

Reference 8

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Observation 3ea6b28b-4dba-4ca5-90bb-2c842d14d7b8 · outbound

This paper cites Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps

Reference 9

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Observation 778f737e-76b2-43de-b5b8-7a3d9e4d4f2c · outbound

This paper cites an unresolved cited work.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Unresolved cited work

Reference 10

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Observation 8e4d8ed2-ead2-46ce-be76-5e852638094f · outbound

This paper cites Preparing a col- lection of radiology examinations for distribution and retrieval.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Preparing a col- lection of radiology examinations for distribution and retrieval

Reference 11

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Observation 09d5e8a4-0a7b-4105-82e6-69f9efc1f42a · outbound

This paper cites LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

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Observation 0746e675-a275-4be4-bb3b-5f8741612904 · outbound

This paper cites Make LoRA great again: Boost- ing LoRA with adaptive singular values and mixture-of-experts optimization alignment.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Make LoRA great again: Boost- ing LoRA with adaptive singular values and mixture-of-experts optimization alignment

Reference 13

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Observation 6ba13e35-546a-40b9-b343-5d196a71d72f · outbound

This paper cites Switch trans- formers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23 (120):1–39, 2022.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Switch trans- formers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23 (120):1–39, 2022

Reference 14

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Observation 64772e1f-b2b4-4957-90d3-077476ddc25d · outbound

This paper cites Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 15

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Observation 53e3251a-64f4-484e-8046-d424c9b3f652 · outbound

This paper cites SARA: Singular-Value Based Adaptive Low-Rank Adaption.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics SARA: Singular-Value Based Adaptive Low-Rank Adaption

Reference 16

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Observation 53904c81-f2c9-43dc-87f4-e77ad41db511 · outbound

This paper cites Detecting and pre- venting hallucinations in large vision language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Detecting and pre- venting hallucinations in large vision language models

Reference 17

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Observation 95e29d53-dc4d-441f-b4f9-a4097edd3e19 · outbound

This paper cites Performance of gpt-4 with vision on text-and image-based acr diagnostic radiology in-training ex- amination questions.Radiology, 312(3):e240153, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Performance of gpt-4 with vision on text-and image-based acr diagnostic radiology in-training ex- amination questions.Radiology, 312(3):e240153, 2024

Reference 18

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Observation 10e95024-95ad-42d7-80fa-9e0311fbef25 · outbound

This paper cites Upcycling Large Language Models into Mixture of Experts.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Upcycling Large Language Models into Mixture of Experts

Reference 19

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Observation c767ed27-98ab-48ed-a3a6-3b07cb8f0883 · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 20

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Observation a99f302b-353f-4d71-9e1a-ceed9c4bbe2a · outbound

This paper cites Alternate low-rank matrix approximation in latent semantic analysis.Scientific Programming, 2019(1):1095643, 2019.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Alternate low-rank matrix approximation in latent semantic analysis.Scientific Programming, 2019(1):1095643, 2019

Reference 21

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Observation 243ae9ad-c01f-4e9b-98a1-87ea3336851a · outbound

This paper cites Language model compression with weighted low-rank factorization.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Language model compression with weighted low-rank factorization

Reference 22

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Observation 58434bf9-8d0a-4a04-b327-91dea36ecb66 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lora: Low-rank adaptation of large language models

Reference 23

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Observation f27aa3b7-3a8d-4899-af1f-ee7e146af8ec · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3,.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lora: Low-rank adaptation of large language models.ICLR, 1(2):3,

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Observation d2caeaef-05b3-456b-a963-c86da3eccce8 · outbound

This paper cites SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation

Reference 25

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Observation 8353dcc9-f83e-4439-afe7-931df260e94e · outbound

This paper cites Omnimedvqa: A new large-scale com- prehensive evaluation benchmark for medical lvlm.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Omnimedvqa: A new large-scale com- prehensive evaluation benchmark for medical lvlm

Reference 26

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Observation 11d3ad2f-ca4f-4ea6-8662-dddca5eaaa55 · outbound

This paper cites Quilt-1m: One million image-text pairs for histopathology.Advances in neural infor- mation processing systems, 36:37995–38017, 2023.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Quilt-1m: One million image-text pairs for histopathology.Advances in neural infor- mation processing systems, 36:37995–38017, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 9cc1c5f3-ee81-4ec2-b226-198e956f3af8 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and ex- pert comparison.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Chexpert: A large chest radiograph dataset with uncertainty labels and ex- pert comparison

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 42861bba-89c2-4f7d-8fcc-c0c0803fd291 · outbound

This paper cites Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991

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Observation 2ccea892-5db5-4219-a075-37d025dac62a · outbound

This paper cites RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 30

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Observation 567c037b-8c08-447a-b6ce-ed457aef0fa7 · outbound

This paper cites Mixtral of Experts.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Mixtral of Experts

Reference 31

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Observation c11d060a-2899-420a-afb2-782a1f8a1f4e · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 32

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Observation 7d5ee995-8cee-48a5-be56-4ddbb6d8bd0f · outbound

This paper cites Mimic-iv, a freely acces- sible electronic health record dataset.Scientific data, 10(1):1,.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Mimic-iv, a freely acces- sible electronic health record dataset.Scientific data, 10(1):1,

Reference 33

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Observation 3d4ca26b-4c08-468d-9856-2c586b0acc13 · outbound

This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Reference 34

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Observation 80638cab-40d9-4033-ae4e-4296a19cbad8 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Overcoming catastrophic forgetting in neural networks

Reference 35

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Observation 0a9495d9-c15b-4821-81e6-d1717c0a38cd · outbound

This paper cites CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics CLIP-SVD: Efficient and Interpretable Vision-Language Adaptation via Singular Values

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 15899635-e7e1-4998-b9a1-d89b01c6c442 · outbound

This paper cites A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018

Reference 37

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Observation bb1fb13a-ab28-4b06-9976-969f2e60c1d8 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics The power of scale for parameter-efficient prompt tuning

Reference 38

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Observation 44f9fca0-7085-4a60-aeae-aa585211d211 · outbound

This paper cites Llava-med: Training a large language-and- vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Llava-med: Training a large language-and- vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 411baeda-6420-4a0d-86c2-9639c95c193a · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 40

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Observation 1c0ffc96-5505-46ef-8cfb-8aecd2f4ef3a · outbound

This paper cites Evaluating object hallucination in large vision- language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Evaluating object hallucination in large vision- language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 16142635-e0b4-43e3-9817-15c30ef8b62c · outbound

This paper cites Ensembles of Low-Rank Expert Adapters.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Ensembles of Low-Rank Expert Adapters

Reference 42

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Observation 8f9fab87-9bfe-41ed-871b-49b1fce22939 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Rouge: A package for automatic evaluation of summaries

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 8eed8dec-1173-40d3-900c-4bf399359195 · outbound

This paper cites HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 6f621b17-c65b-401f-9212-c6650b1ced3e · outbound

This paper cites Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation bea912d7-62ff-475e-88e3-3171d76e0853 · outbound

This paper cites Medi- cal visual question answering: A survey.Artificial Intelligence in Medicine, 143:102611, 2023.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Medi- cal visual question answering: A survey.Artificial Intelligence in Medicine, 143:102611, 2023

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 6c3fd5d4-4855-4999-b711-d0d9ba32657a · outbound

This paper cites Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 2d195ee1-ee09-4316-99e8-947ab208461d · outbound

This paper cites Mitigating hallucination in large multi- modal models via robust instruction tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Mitigating hallucination in large multi- modal models via robust instruction tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation f3775fef-5e4f-4941-90e4-27071abec6e7 · outbound

This paper cites Application of large language models in medicine.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Application of large language models in medicine

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 525c0ed7-7795-46bd-85f3-b80987ef6ac2 · outbound

This paper cites Im- proved baselines with visual instruction tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Im- proved baselines with visual instruction tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 4accc478-5646-4e10-85cd-be022c6a3c2f · outbound

This paper cites Dora: Weight-decomposed low-rank adapta- tion.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Dora: Weight-decomposed low-rank adapta- tion

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Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation b48c51c5-3757-475f-b2aa-631f790aac5c · outbound

This paper cites Vil- bert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.Advances in neural information processing systems, 32, 2019.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Vil- bert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.Advances in neural information processing systems, 32, 2019

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 3b117dfe-b019-49bd-bc9e-b0c3a0cf79d8 · outbound

This paper cites Twin-merging: Dynamic integration of modular expertise in model merging.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Twin-merging: Dynamic integration of modular expertise in model merging

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Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation 92bd9db7-b5a8-4931-b3e2-8148a54bea6a · outbound

This paper cites MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation fb8296b3-e3d7-472a-be3b-8f53d9f54a9e · outbound

This paper cites Fairclip: Har- nessing fairness in vision-language learning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Fairclip: Har- nessing fairness in vision-language learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

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Observation 911d0dba-4948-43d4-ad32-5c0debc8110a · outbound

This paper cites Biomedgpt: An open multimodal large language model for biomedicine.IEEE Journal of Biomedical and Health Informatics, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Biomedgpt: An open multimodal large language model for biomedicine.IEEE Journal of Biomedical and Health Informatics, 2024

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

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Observation 19cd1104-8d59-4f1c-bdce-e6e2fb39bcb6 · outbound

This paper cites PiSSA: Prin- cipal singular values and singular vectors adaptation of large language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics PiSSA: Prin- cipal singular values and singular vectors adaptation of large language models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87933aa9-4c6b-434c-b7af-b481c1760ca4 · outbound

This paper cites Med-flamingo: a multimodal med- ical few-shot learner.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Med-flamingo: a multimodal med- ical few-shot learner

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f75c5dc-984c-4531-9570-f1214dcd9f36 · outbound

This paper cites Multimodal large language models in medical imaging: Current state and future directions.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Multimodal large language models in medical imaging: Current state and future directions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 355291bc-f12f-4ec9-a01d-69ffd8a46f61 · outbound

This paper cites D-rax: Domain-specific radiologic assistant leveraging multi-modal data and expert model predictions.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics D-rax: Domain-specific radiologic assistant leveraging multi-modal data and expert model predictions

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06514a67-046b-4e2c-ac5e-337279229a7a · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Bleu: a method for automatic evaluation of machine translation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284adbe1-b353-4c01-bb96-bc4822101abb · outbound

This paper cites Learning transferable visual models from natural language supervision.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Learning transferable visual models from natural language supervision

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af76c68-ab5f-49da-8bd4-2ce4f07d7a3a · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5248e38f-9ec2-47f9-94fd-578c0480311e · outbound

This paper cites Toward expert-level med- ical question answering with large language models.Nature Medicine, 31(3):943–950, 2025.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Toward expert-level med- ical question answering with large language models.Nature Medicine, 31(3):943–950, 2025

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cdbaf3-7edf-442c-9111-d7df13495893 · outbound

This paper cites Combining automatic labelers and expert annotations for accurate radiology report labeling using bert.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Combining automatic labelers and expert annotations for accurate radiology report labeling using bert

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1d4fb98-9be7-4190-a66f-85f9de664c8e · outbound

This paper cites Dimen- sionality reduction using pca and svd in big data: A compar- ative case study.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Dimen- sionality reduction using pca and svd in big data: A compar- ative case study

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae05b911-8623-40e4-918b-5631da195757 · outbound

This paper cites Xraygpt: Chest radiographs summarization using large med- ical vision-language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Xraygpt: Chest radiographs summarization using large med- ical vision-language models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a65bfd-d329-4339-af02-d0eaef83d3e9 · outbound

This paper cites Hydralora: An asymmetric lora architecture for efficient fine-tuning, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Hydralora: An asymmetric lora architecture for efficient fine-tuning, 2024

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 599c2dbf-c119-4c41-9b98-69fd12e5ea00 · outbound

This paper cites Expert-level detection of pathologies from unannotated chest x-ray images via self- supervised learning.Nature Biomedical Engineering, 6(12): 1399–1406, 2022.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Expert-level detection of pathologies from unannotated chest x-ray images via self- supervised learning.Nature Biomedical Engineering, 6(12): 1399–1406, 2022

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c3dd92-dcbe-429f-8197-571a0fa4f391 · outbound

This paper cites Vigc: Visual instruction generation and correction.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Vigc: Visual instruction generation and correction

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b794b81b-bddd-49cc-b971-29c42e0b4010 · outbound

This paper cites Kasa: Knowledge-aware singular-value adaptation of large language models, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Kasa: Knowledge-aware singular-value adaptation of large language models, 2024

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd3e080-90fa-4dc2-abcc-5013592aead7 · outbound

This paper cites Milora: Harnessing minor singular components for parameter-efficient llm finetuning, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Milora: Harnessing minor singular components for parameter-efficient llm finetuning, 2024

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bae3fe-1683-44f1-b46e-fdd9e4ec0c96 · outbound

This paper cites Roselora: Row and column-wise sparse low-rank adaptation of pre-trained language model for knowl- edge editing and fine-tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Roselora: Row and column-wise sparse low-rank adaptation of pre-trained language model for knowl- edge editing and fine-tuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4549540-fba1-4e04-b616-09095cff49b3 · outbound

This paper cites MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e60d82d-a2df-4db1-96d6-30df03ef5769 · outbound

This paper cites Milora: Harnessing minor singular components for parameter-efficient llm finetuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Milora: Harnessing minor singular components for parameter-efficient llm finetuning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b32a441-84d3-41a0-87e0-72f33c55b88c · outbound

This paper cites Lora-ga: Low-rank adaptation with gradient approximation.Advances in Neural Information Processing Systems, 37:54905–54931, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lora-ga: Low-rank adaptation with gradient approximation.Advances in Neural Information Processing Systems, 37:54905–54931, 2024

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf85124-759d-4b58-a52f-717bdfd5dad3 · outbound

This paper cites Lora-ga: Low-rank adaptation with gradient approximation.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lora-ga: Low-rank adaptation with gradient approximation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5aef69f-b490-4e07-bc74-782011519ea6 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b9d826-d47c-4c4a-933a-5a04ce4c24f1 · outbound

This paper cites Medclip: Contrastive learning from unpaired medical im- ages and text.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Medclip: Contrastive learning from unpaired medical im- ages and text

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17640c9-ba73-41dc-95ce-22f2ae42077c · outbound

This paper cites Lora-pro: Are low-rank adapters properly optimized?,.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lora-pro: Are low-rank adapters properly optimized?,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e82a0f-099e-43ee-93ab-7a8cc389e12c · outbound

This paper cites LoRA-Pro: Are Low-Rank Adapters Properly Optimized?.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0aae8ed-ab33-409b-949d-b355a496d344 · outbound

This paper cites Smolora: Exploring and defying dual catas- trophic forgetting in continual visual instruction tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Smolora: Exploring and defying dual catas- trophic forgetting in continual visual instruction tuning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b799b9-b871-4191-99d0-41701c76eca0 · outbound

This paper cites Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data.Nature Communications, 16(1):7866, 2025.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data.Nature Communications, 16(1):7866, 2025

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f1333c-443a-4c26-be52-aed296853966 · outbound

This paper cites Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ddf6cbe-982c-4147-a955-3689a7a682bc · outbound

This paper cites Rule: Reliable multimodal rag for factuality in medical vision language models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Rule: Reliable multimodal rag for factuality in medical vision language models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14da9fc6-0581-4437-bb6b-76419db75adb · outbound

This paper cites Empiri- cal evaluation of rectified activations in convolutional network,.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Empiri- cal evaluation of rectified activations in convolutional network,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4138e03a-349c-4cf6-8cde-5ead49af3469 · outbound

This paper cites MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ad61a4-718b-4a15-9392-64398d7b9bc8 · outbound

This paper cites Lamm: Language-assisted multi-modal instruction- tuning dataset, framework, and benchmark.Advances in Neu- ral Information Processing Systems, 36:26650–26685, 2023.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Lamm: Language-assisted multi-modal instruction- tuning dataset, framework, and benchmark.Advances in Neu- ral Information Processing Systems, 36:26650–26685, 2023

Reference 88

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d96ea6-0b9e-46bd-8ec1-ad9f5be3c161 · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2e3138-25c4-4739-8414-176a0b301f59 · outbound

This paper cites Pushing mixture of experts to the limit: Extremely parameter efficient moe for instruction tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Pushing mixture of experts to the limit: Extremely parameter efficient moe for instruction tuning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c6ab4d-fe84-4760-b38c-b0d39c86c1e0 · outbound

This paper cites Investigating the catastrophic forget- ting in multimodal large language model fine-tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Investigating the catastrophic forget- ting in multimodal large language model fine-tuning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18355075-1678-438e-88b5-7afc6e66e6b4 · outbound

This paper cites MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e521b3-ecf3-4dd6-abb4-4c854ef258cc · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Adaptive budget allocation for parameter-efficient fine-tuning

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060477e4-fa78-44a1-9724-d9c34c95382c · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 94

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1521560d-cbc6-4fd2-90dc-4fee67fd040a · outbound

This paper cites Galore: Memory- efficient llm training by gradient low-rank projection, 2024.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Galore: Memory- efficient llm training by gradient low-rank projection, 2024

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbe0c8d-ad9d-461a-acd2-dc58873ae214 · outbound

This paper cites Ratescore: A metric for radiology report generation.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Ratescore: A metric for radiology report generation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc39ff0a-e0ba-4d63-a602-26bc1ac686aa · outbound

This paper cites an unresolved cited work.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662fb89e-5784-4a0e-b432-67c962ab294c · outbound

This paper cites an unresolved cited work.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038cf018-aa93-413a-a6b4-ceb3b2fe14d5 · outbound

This paper cites Routing Analysis Fig.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Routing Analysis Fig

Reference 99

Resolution: malformed identifier; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2b94d84-b7c3-4b62-a73e-5f00f95bdd40 · outbound

This paper cites an unresolved cited work.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Unresolved cited work

Reference 100

Resolution: malformed identifier; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

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